Description: Mean or standard deviation are usually computed for whole part of the analysed signal. However, sometimes we would like to know how this quantities are changing in the data flow. MEANSTDF compute the expected mean and standard deviation values using user defined window for every data position. The output can be useful while nonlinear detrending or stationarity analysis.
To Search:
- [pto] - Application of statistical theory to the
- [www] - Ruili channel simulation noise signal by
- [emgmm] - Maximum likelihood estimation of Gaussia
- [Spectrum_Zoom] - This function returns N point DFT sample
File list (Check if you may need any files):
license.txt
meanstdf.m